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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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spatially offset Raman spectroscopy (SORS) as a healthcare tool for use in the community for bone health. We are seeking a data analyst with a PhD in data science and expertise in chemometrics, machine
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics
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identification, molecular validation, and the development of new diagnostic tools. Working with cell cultures and organoids. Participation in molecular and spatial data analysis in collaboration with analysts
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MRC DiMeN Doctoral Training Partnership: Deconvoluting the spatial multi-omic landscape of high-grade glioma to target post-surgical residual disease MRC DiMeN Doctoral Training Partnership PhD
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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(flow cytometry, isolation and analysis of cells from peripheral blood and barrier organs) 4. practical knowledge of bioinformatic techniques (analysis of omic data, such as scRNAseq, spatial scRNAseq) 5
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/mps/people/all-academic-staff/alexander-fletcher https://strawbridgelab.com/ Institutional entry requirements for PhD: For entry into this PhD programme you should hold, or expect to hold, an honours